休假中
❤1

Channel
@XiaoNuo6988
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
8,538subscribers
+758 since we began measuring on 6 September 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1002153198459 |
|---|---|
| Type | Channel |
| Username | @XiaoNuo6988 |
| Description | 小诺💗颜值高🦄身材好🐻熊胸大🌹皮肤白🍀态度热情💋小仙女的感觉🌸信息没回直接电话☎️13637770581私信 @xn791213 QQ2383652903 |
| Created | Between 1 May 2024 and 31 October 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 September 2026 |
| Last confirmed live | 7 November 2026 |
| Measurements held | 16 |
| Confirmed unchanged | 1 time, most recently 7 November 2026 |
| On Telegram | t.me/XiaoNuo6988 |
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 26 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Nov 2026, 08:50 | 8,538 | +52 |
| 4 Nov 2026, 08:36 | 8,486 | +42 |
| 1 Nov 2026, 17:56 | 8,444 | +27 |
| 29 Oct 2026, 22:39 | 8,417 | +34 |
| 26 Oct 2026, 16:36 | 8,383 | +25 |
| 24 Oct 2026, 00:48 | 8,358 | +57 |
| 20 Oct 2026, 20:45 | 8,301 | +101 |
| 17 Oct 2026, 12:06 | 8,200 | +23 |
| 14 Oct 2026, 12:38 | 8,177 | +23 |
| 10 Oct 2026, 20:40 | 8,154 | +105 |
| 5 Oct 2026, 02:00 | 8,049 | +74 |
| 26 Sept 2026, 08:39 | 7,975 | +199 |
| 17 Sept 2026, 18:39 | 7,776 | +14 |
| 13 Sept 2026, 08:39 | 7,762 | -8 |
| 9 Sept 2026, 18:39 | 7,770 | -10 |
| 6 Sept 2026, 19:52 | 7,780 | first reading |
19 posts held, back to 15 October 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 9 pages of Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 14 of 19 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 November 2026 |
|---|---|
| Posts held | 19 (15 October 2026 – 3 November 2026) |
| Views total | 85,400 |
| Reactions total | 36 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 11:21 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Lifetime counters from Telegram’s own channel header, read 7 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 5 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
36 reactions across 12 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 36 | 100.0% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 14 of the 19 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 36 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 15 October 2026 to 3 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Telegram’s own ‘edited’ marker: 0 of 19 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
休假中
❤1
今天开一天,明天开始休息了
Photo, posted without a caption
在开两三天课休息时间就到了。
中场休息小哥哥对大🐻爱不释手😍
同学们,早上好呀,开课预约了
❤4
感谢老同学的转介绍。
❤2
开课了
❤8
感谢小哥哥的好评!
妹子花名:小诺 位置:江北区观府国际小区 身高:165 体重:98左右 胸围:F 年龄:28左右 价格:5p 8pp 联系方式:@xn791213 ☎️13637770581 详细评价:久闻小诺老师大名,今天终于体验了一下,天然大🐻,皮肤白,服务超级赞,想去的兄弟们可以冲,太巴适了
❤2
【妹子花名】:小诺 【联系方式】: @xn791213 ☎️13637770581 【验证时间】:10.24 【所在位置】:观音桥 【修车水费】:5米p 【老师情况】:年龄28 身高165,体重98 胸围36F 【服务内容】:第一次约的时候还是其实挺紧张的,到地方后也会想会不会很尴尬,然后我提前到了,老师也很好让我提前进去。刚看到老师时候,整个人气质就很放松,笑起来很自然,完全没有压迫感。身材真的很好,曲线很明显,胸很大也很饱满,穿着衣服就已经很有冲击力了。 见面后她会先简单聊几句,感觉很会照顾情绪,很快就把我的紧张感化解了。帮我洗澡很温柔,很舒服,服务过程中很有耐心,也很主动,节奏掌控得很好,该温柔的时候温柔,该热情的时候也不含糊,非常有技术,手法到位。整个过程很舒服,完全没有那种敷衍的感觉,结束后还会关心一下,体验非常不错。 整体来说人很年轻漂亮、身材超级无敌好、服务到位,卫生也干净,性价比相当高,我是做的 pp 的…
❤4
开课了
Showing the 12 most recent of 19 posts we hold for @XiaoNuo6988. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 7 November 2026 — this entry's latest reading, not the date you are reading this.
“小诺💗报告频道🦄13637770581” (@XiaoNuo6988), 8,538 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/XiaoNuo6988.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.